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| Criterion |  Decision Making Decision Tree |  Product Discovery Hypothesis Prioritization Canvas |  Decision Making Assumption Surfacing |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | 60-90 min | 45-90 min | 45-75 min |
Participantsdifferent | 1-6 | 3-8 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Prioritization Canvas, Hypothesis Backlog | Assumption List, Critical Assumptions, Learning Plan | Test Matrix, Test Plan |
Tagsno overlap | DecisionTreeOptions | ExperimentsPrioritizationDiscoveryHypothesis | AssumptionsRiskDecisionDiscovery | ExperimentsValidationDiscoveryOptions |